Evidence map›Paper›PMID 37050740›Full record

ReviewSensors (Basel, Switzerland)2023

Cybersecurity and Cyber Forensics for Smart Cities: A Comprehensive Literature Review and Survey.

Kyounggon Kim, Istabraq Mohammed Alshenaifi, Sundaresan Ramachandran, Jisu Kim, Tanveer Zia, Abdulrazaq Almorjan

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Kyounggon KimCenter of Excellence in Cybercrime and Digital Forensics, Naif Arab University for Security Sciences, Riyadh 14812, Saudi Arabia.ORCID 0000-0002-5675-4253
Istabraq Mohammed AlshenaifiCenter of Excellence in Cybercrime and Digital Forensics, Naif Arab University for Security Sciences, Riyadh 14812, Saudi Arabia.
Sundaresan RamachandranCenter of Excellence in Cybercrime and Digital Forensics, Naif Arab University for Security Sciences, Riyadh 14812, Saudi Arabia.
Jisu KimBoB (Best of the Best), Korea Information Technology Research Institute, Seoul 08378, Republic of Korea.
Tanveer ZiaCenter of Excellence in Cybercrime and Digital Forensics, Naif Arab University for Security Sciences, Riyadh 14812, Saudi Arabia.ORCID 0000-0003-3802-5687
Abdulrazaq AlmorjanCenter of Excellence in Cybercrime and Digital Forensics, Naif Arab University for Security Sciences, Riyadh 14812, Saudi Arabia.

Funding

Naif Arab University for Security Sciences SRC-PR2-05
6 · The paper itself

Abstract

Smart technologies, such as the Internet of Things (IoT), cloud computing, and artificial intelligence (AI), are being adopted in cities and transforming them into smart cities. In smart cities, various network technologies, such as the Internet and IoT, are combined to exchange real-time information, making the everyday lives of their residents more convenient. However, there is a lack of systematic research on cybersecurity and cyber forensics in smart cities. This paper presents a comprehensive review and survey of cybersecurity and cyber forensics for smart cities. We analysed 154 papers that were published from 2015 to 2022 and proposed a new framework based on a decade of related research papers. We identified four major areas and eleven sub-areas for smart cities. We found that smart homes and the IoT were the most active research areas within the cybersecurity field. Additionally, we found that research on cyber forensics for smart cities was relatively limited compared to that on cybersecurity. Since 2020, there have been many studies on the IoT (which is a technological component of smart cities) that have utilized machine learning and deep learning. Due to the transmission of large-scale data through IoT devices in smart cities, ML and DL are expected to continue playing critical roles in smart city research.

Indexed as

cyber forensicscybersecuritydigital forensicsInternet of Thingssmart city

Identifiers

PMID37050740
PMCPMC10099346

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.